sqlime VS datasette-lite

This is incredible work.

However, the project doesn't follow best practices in the JavaScript ecosystem. The included WebAssembly (wasm) file should be fetched from npm, instead of being uploaded to the project.

https://github.com/nalgeon/sqlime/blob/0bb684c/js/sqlite/sql...

Reading about SQL is fun, but trying out live examples is even better! So I created JavaScript widgets that turn static SQL code in articles into interactive examples.

Interactive SQL examples give readers the ability to edit a query and see how the results change. Or even write their own queries.

It works entirely in the browser, without a server (powered by SQLite Wasm), and requires only minimal changes to existing HTML code.

https://github.com/nalgeon/sqlime

Also see: https://github.com/simonw/datasette-lite

https://github.com/simonw/datasette-lite :

> You can use this tool to open any SQLite database file that is hosted online and served with a `access-control-allow-origin: ` CORS header. Files served by GitHub Pages automatically include this header, as do database files that have been published online using `datasette publish`.*

> [...] You can paste in the "raw" URL to a file, but Datasette Lite also has a shortcut: if you paste in the URL to a page on GitHub or a Gist it will automatically convert it to the "raw" URL for you

> To load a Parquet file, pass a URL to `?parquet=`

> [...] https://lite.datasette.io/?parquet=https://github.com/Terada...*

There are various *-to-sqlite utilities that load data into a SQLite database for use with e.g. datasette. E.g. Pandas with `dtype_backend='arrow'` saves to Parquet.

datasette plugins are written in Python and/or JS w/ pluggy:

Datasette Lite might be even better for this - you can construct URLs that link directly to examples: https://github.com/simonw/datasette-lite

There are some amazing things for SQLite in the browser especially if you're looking for ways to host queryable data for cheap.

I have a hacked up POC experimental version of datasette-lite to be able to look at multi-GB databases at https://github.com/simonw/datasette-lite/pull/49. It uses a hacked up chunk'd lazyFile implementation from emscripten and others to grap pages from Cloudflare R2.

It's a test with california's unclaimed property records (https://www.sco.ca.gov/upd_download_property_records.html) of a 28GB searching up that guy who owns Twitter: https://datasette-lite-lab.mindflakes.com/index.html?url=htt...

I think there may be a space for super-large multi-GB files served from static storage being accessible from SQlite as well. Another one would be this full-text search of a 43GB SQLite database of Wikipedia's full text search: http://static.wiki/ . Hearing there's official support for this is awesome and I hope they also might add some provisions for those sticking with POSIX/Emscripten as well.

I grafted the enhanced lazyFile implementation of this to datasette-lite relatively recently. Threw in a 18GB CSV from

https://www.sco.ca.gov/upd_download_property_records.html

into a FTS5 Sqlite Database which came out to about 28GB after processing:

POC, non-merging Draft PR for the hack:

https://github.com/simonw/datasette-lite/pull/49

You can run queries through it if you URL hack into it and just get to the query dialog, browsing is kind of a dud at the moment since datasette runs a count(*) which downloads everything.

Oh wow! I wonder how hard it would be to load that module into https://github.com/simonw/datasette-lite

datasette-lite – Datasette running in your browser using WebAssembly and Pyodide

I have an open issue for that here: https://github.com/simonw/datasette-lite/issues/28

My initial hunch is that this will be really difficult - probably require a fork of something like https://github.com/coleifer/pysqlite3 then compiled for WebAssembly.

I'm confident it's feasible, but I don't have the skills to figure it out myself.